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首页> 外文期刊>Advanced Science >A Neuromorphic Device Implemented on a Salmon‐DNA Electrolyte and its Application to Artificial Neural Networks
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A Neuromorphic Device Implemented on a Salmon‐DNA Electrolyte and its Application to Artificial Neural Networks

机译:在鲑鱼-DNA电解质上实施的神经形状装置及其在人工神经网络中的应用

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A bioinspired neuromorphic device operating as synapse and neuron simultaneously, which is fabricated on an electrolyte based on Cu 2+ ‐doped salmon deoxyribonucleic acid (S‐DNA) is reported. Owing to the slow Cu 2+ diffusion through the base pairing sites in the S‐DNA electrolyte, the synaptic operation of the S‐DNA device features special long‐term plasticity with negative and positive nonlinearity values for potentiation and depression (α p and α d ), respectively, which consequently improves the learning/recognition efficiency of S‐DNA‐based neural networks. Furthermore, the representative neuronal operation, “integrate‐and‐fire,” is successfully emulated in this device by adjusting the duration time of the input voltage stimulus. In particular, by applying a Cu 2+ doping technique to the S‐DNA neuromorphic device, the characteristics for synaptic weight updating are enhanced (|α p |: 31→20, |α d |: 11→18, weight update margin: 33→287 nS) and also the threshold conditions for neuronal firing (amplitude and number of stimulus pulses) are modulated. The improved synaptic characteristics consequently increase the Modified National Institute of Standards and Technology (MNIST) pattern recognition rate from 38% to 44% (single‐layer perceptron model) and from 89.42% to 91.61% (multilayer perceptron model). This neuromorphic device technology based on S‐DNA is expected to contribute to the successful implementation of a future neuromorphic system that simultaneously satisfies high integration density and remarkable recognition accuracy.
机译:报告了一种生物透明的神经形状器件,其同时在基于Cu 2+三文鱼脱氧核糖核酸(S-DNA)的电解质上制造的突触和神经元。由于S-DNA电解质中的碱配对位点扩散缓慢,S-DNA器件的突触操作具有特殊的长期可塑性,具有负性和抑郁的负和正非线性值(αP和α D)分别提高了基于S-DNA的神经网络的学习/识别效率。此外,通过调整输入电压刺激的持续时间,在该装置中成功模拟了代表性的神经元操作,“集成和火”。特别地,通过将​​Cu 2+掺杂技术施加到S-DNA神经晶体器件,提高了突触重量更新的特性(|αp|:31→20,|αd|:11→18,重量更新裕度: 33→287ns)以及调制神经元烧制的阈值条件(刺激脉冲的幅度和数量)。改善的突触特征因此,将改性国家标准和技术研究所(MNIST)模式识别率增加到38%至44%(单层Perceptron模型)和89.42%至91.61%(多层Perceptron模型)。该基于S-DNA的神经形态器件技术预计将有助于成功实施未来的神经形式系统,同时满足高集成密度和显着的识别准确性。

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